Yiang Sun
Papers
2
Total Citations
7
H-Index
2
About
Yiang Sun is a researcher focused on advancing robotic systems for construction and infrastructure applications, with key contributions in path planning and mechanical design. His work addresses critical challenges in automating labor-intensive tasks, particularly in hazardous or confined environments. Sun’s most cited paper, “Efficient Path Planning for Collision Avoidance of Construction Vibration Robots Based on Euclidean Signed Distance Field and Vector Safety Flight Corridors” (2025, 5 citations), introduces a novel safety optimization method that integrates Euclidean signed distance fields with vector-based flight corridors, enabling vibration robots to navigate complex construction sites while avoiding collisions. This approach enhances both efficiency and safety, offering a flexible solution for automated concrete vibration—a task traditionally reliant on manual labor. Additionally, Sun developed an in-pipe robot featuring a novel differential mechanism (2017, 2 citations), demonstrating his versatility in creating specialized robots for confined-space inspection and maintenance. Though early in his career, Sun’s work is already recognized for its practical impact on construction automation, bridging the gap between theoretical robotics and real-world deployment. His research holds promise for transforming how heavy, repetitive tasks are performed in the built environment.
Research Focus
Key Achievements
Top Papers
- 1
- 2Development of an In-Pipe Robot with a Novel Differential Mechanism2 citations · 2017